{"title":"欧洲联盟普通人群中的自我药疗:流行率和相关因素","authors":"Spencer Yeamans, Ángel Gil-de-Miguel, Valentín Hernández-Barrera, Pilar Carrasco-Garrido","doi":"10.1007/s10654-024-01153-1","DOIUrl":null,"url":null,"abstract":"<p>Self-medication (SM) forms an important part of public health strategy. Nonetheless, little research has been performed to understand the current state of self-medication in the European Union (EU). Utilizing data from the third wave of the European Health Interview Surveys, this study finds an estimated SM prevalence of 34.3% in the EU (95%CI = 34.1-34.5%; <i>n</i> = 255,758). SM prevalence, as well as SM prevalence inequality between men and women, varies substantially between EU member countries. Via multivariable analysis, we also identify a number of variables associated with SM, most notably the substantial impact of health systems on SM behavior (Adjusted Odds Ratio [AOR] = 4.00; 95% Confidence Interval [95%CI] = 3.81–4.21). Several demographics are also associated with greater SM prevalence, including those aged 25–44 (versus ages 75+: AOR = 1.21; 95%CI = 1.12–1.31), women (AOR = 1.74; 95%CI = 1.68–1.81), immigrants born in other EU states (AOR = 1.16; 95%CI = 1.04–1.30), those with higher education (AOR = 1.83; 95%CI = 1.60–2.09), and urban dwellers (AOR = 1.14; 95%CI = 1.04–1.30). Additionally, long-standing health problems (AOR = 1.39; 95%CI = 1.33–1.45), visits to doctors (both general practitioners and specialists) (AOR = 1.21, 95%CIs = 1.15–1.26, 1.17–1.26), and unmet needs for health care due to waiting lists (AOR = 1.38; 95%CI = 1.23–1.55) or inability to afford medical examinations/treatment (AOR = 1.27; 95%CI = 1.12–1.42) serve as conditioners for SM. We also find that smoking (AOR = 1.05; 95%CI = 1.01–1.10), vaping (AOR = 1.19; 95%CI = 1.06–1.32), drinking alcohol (AOR = 1.23; 95%CI = 1.19–1.28), and higher levels of physical activity (AOR = 1.27; 95%CI = 1.22–1.32) are factors associated with SM. Analysis of these variables reveals that though women self-medicate more than men, the patterns that govern their consumption are similar.</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"186 1","pages":""},"PeriodicalIF":7.7000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-medication among general population in the European Union: prevalence and associated factors\",\"authors\":\"Spencer Yeamans, Ángel Gil-de-Miguel, Valentín Hernández-Barrera, Pilar Carrasco-Garrido\",\"doi\":\"10.1007/s10654-024-01153-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Self-medication (SM) forms an important part of public health strategy. Nonetheless, little research has been performed to understand the current state of self-medication in the European Union (EU). Utilizing data from the third wave of the European Health Interview Surveys, this study finds an estimated SM prevalence of 34.3% in the EU (95%CI = 34.1-34.5%; <i>n</i> = 255,758). SM prevalence, as well as SM prevalence inequality between men and women, varies substantially between EU member countries. Via multivariable analysis, we also identify a number of variables associated with SM, most notably the substantial impact of health systems on SM behavior (Adjusted Odds Ratio [AOR] = 4.00; 95% Confidence Interval [95%CI] = 3.81–4.21). Several demographics are also associated with greater SM prevalence, including those aged 25–44 (versus ages 75+: AOR = 1.21; 95%CI = 1.12–1.31), women (AOR = 1.74; 95%CI = 1.68–1.81), immigrants born in other EU states (AOR = 1.16; 95%CI = 1.04–1.30), those with higher education (AOR = 1.83; 95%CI = 1.60–2.09), and urban dwellers (AOR = 1.14; 95%CI = 1.04–1.30). Additionally, long-standing health problems (AOR = 1.39; 95%CI = 1.33–1.45), visits to doctors (both general practitioners and specialists) (AOR = 1.21, 95%CIs = 1.15–1.26, 1.17–1.26), and unmet needs for health care due to waiting lists (AOR = 1.38; 95%CI = 1.23–1.55) or inability to afford medical examinations/treatment (AOR = 1.27; 95%CI = 1.12–1.42) serve as conditioners for SM. We also find that smoking (AOR = 1.05; 95%CI = 1.01–1.10), vaping (AOR = 1.19; 95%CI = 1.06–1.32), drinking alcohol (AOR = 1.23; 95%CI = 1.19–1.28), and higher levels of physical activity (AOR = 1.27; 95%CI = 1.22–1.32) are factors associated with SM. Analysis of these variables reveals that though women self-medicate more than men, the patterns that govern their consumption are similar.</p>\",\"PeriodicalId\":11907,\"journal\":{\"name\":\"European Journal of Epidemiology\",\"volume\":\"186 1\",\"pages\":\"\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10654-024-01153-1\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10654-024-01153-1","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Self-medication among general population in the European Union: prevalence and associated factors
Self-medication (SM) forms an important part of public health strategy. Nonetheless, little research has been performed to understand the current state of self-medication in the European Union (EU). Utilizing data from the third wave of the European Health Interview Surveys, this study finds an estimated SM prevalence of 34.3% in the EU (95%CI = 34.1-34.5%; n = 255,758). SM prevalence, as well as SM prevalence inequality between men and women, varies substantially between EU member countries. Via multivariable analysis, we also identify a number of variables associated with SM, most notably the substantial impact of health systems on SM behavior (Adjusted Odds Ratio [AOR] = 4.00; 95% Confidence Interval [95%CI] = 3.81–4.21). Several demographics are also associated with greater SM prevalence, including those aged 25–44 (versus ages 75+: AOR = 1.21; 95%CI = 1.12–1.31), women (AOR = 1.74; 95%CI = 1.68–1.81), immigrants born in other EU states (AOR = 1.16; 95%CI = 1.04–1.30), those with higher education (AOR = 1.83; 95%CI = 1.60–2.09), and urban dwellers (AOR = 1.14; 95%CI = 1.04–1.30). Additionally, long-standing health problems (AOR = 1.39; 95%CI = 1.33–1.45), visits to doctors (both general practitioners and specialists) (AOR = 1.21, 95%CIs = 1.15–1.26, 1.17–1.26), and unmet needs for health care due to waiting lists (AOR = 1.38; 95%CI = 1.23–1.55) or inability to afford medical examinations/treatment (AOR = 1.27; 95%CI = 1.12–1.42) serve as conditioners for SM. We also find that smoking (AOR = 1.05; 95%CI = 1.01–1.10), vaping (AOR = 1.19; 95%CI = 1.06–1.32), drinking alcohol (AOR = 1.23; 95%CI = 1.19–1.28), and higher levels of physical activity (AOR = 1.27; 95%CI = 1.22–1.32) are factors associated with SM. Analysis of these variables reveals that though women self-medicate more than men, the patterns that govern their consumption are similar.
期刊介绍:
The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.